miRScore: A rapid and precise microRNA validation tool

MicroRNAs (miRNAs) are small non-protein-coding RNAs that regulate gene expression in many eukaryotes. Next-generation sequencing of small RNAs (small RNA-seq) is central to the discovery and annotation of miRNAs. Newly annotated miRNAs and their longer precursors encoded by MIRNA loci are typically submitted to databases such as the miRBase microRNA registry following the publication of a peer-reviewed study. However, genome-wide scans using small RNA-seq data often yield high rates of false-positive MIRNA annotations, highlighting the need for more robust validation methods. miRScore was developed as an independent and efficient tool for evaluating new MIRNA annotations using sRNA-seq data. miRScore combines structural and expression-based analyses to provide rapid and reliable validation of new MIRNA annotations. By providing users with detailed metrics and visualization, miRScore enhances the ability to assess confidence in MIRNA annotations. miRScore has the potential to advance the overall quality of MIRNA annotations by improving accuracy of new submissions to miRNA databases and serving as a resource for re-evaluating existing annotations.

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Publication Details

Journal
PLoS Computational Biology
Published
2025-11-03
DOI
https://doi.org/10.1371/journal.pcbi.1013663
Citations
3
Primary Topic
MicroRNA in disease regulation
Type
article
Field-Weighted Citation Impact
2.81
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article

miRScore: A rapid and precise microRNA validation tool

Sam Griffiths‐Jones, Michael J. Axtell, Saima Shahid, Blake C. Meyers et al.
3 citations
PLoS Computational Biology
MicroRNA in disease regulation
2.81
article

miRScore: A rapid and precise microRNA validation tool

Sam Griffiths‐Jones, Michael J. Axtell, Saima Shahid, Blake C. Meyers, Allison Vanek
article en
3 citations

Abstract

MicroRNAs (miRNAs) are small non-protein-coding RNAs that regulate gene expression in many eukaryotes. Next-generation sequencing of small RNAs (small RNA-seq) is central to the discovery and annotation of miRNAs. Newly annotated miRNAs and their longer precursors encoded by MIRNA loci are typically submitted to databases such as the miRBase microRNA registry following the publication of a peer-reviewed study. However, genome-wide scans using small RNA-seq data often yield high rates of false-positive MIRNA annotations, highlighting the need for more robust validation methods. miRScore was developed as an independent and efficient tool for evaluating new MIRNA annotations using sRNA-seq data. miRScore combines structural and expression-based analyses to provide rapid and reliable validation of new MIRNA annotations. By providing users with detailed metrics and visualization, miRScore enhances the ability to assess confidence in MIRNA annotations. miRScore has the potential to advance the overall quality of MIRNA annotations by improving accuracy of new submissions to miRNA databases and serving as a resource for re-evaluating existing annotations.

PLoS Computational BiologyVol. 21(11)
Pennsylvania State University (US), University of Manchester (GB), Plant (United States) (US), University of California, Davis (US), University of Sheffield (GB)
Openalex Percentile: Top 8%
MicroRNA in disease regulation
2.81
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miRScore: A rapid and precise microRNA validation tool — Sam Griffiths‐Jones, Michael J. Axtell, et al. · PLoS Computational Biology (2025) | TGRS Research Map | TGRS